Publications by authors named "B Bijnens"

Introduction: Adverse perinatal outcomes (APO) pose a significant global challenge, particularly in low- and middle-income countries (LMICs). This study aims to analyse two cohorts of high-risk pregnant women for APO to comprehend risk factors and improve prediction accuracy.

Methods: We considered an LMIC and a high-income country (HIC) population to derive XGBoost classifiers to predict low birth weight (LBW) from a comprehensive set of maternal and fetal characteristics including socio-demographic, past and current pregnancy information, fetal biometry and fetoplacental Doppler measurements.

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Introduction: Extraction of Doppler-based measurements from feto-placental Doppler images is crucial in identifying vulnerable new-borns prenatally. However, this process is time-consuming, operator dependent, and prone to errors.

Methods: To address this, our study introduces an artificial intelligence (AI) enabled workflow for automating feto-placental Doppler measurements from four sites (i.

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Article Synopsis
  • This statement from the European Association of Cardiovascular Imaging (EACVI) outlines key principles for conducting clinical research in cardiovascular imaging.
  • It serves as a useful guide for clinical researchers, cardiology fellows, and Ph.D. students in designing and implementing imaging protocols for clinical trials.
  • While it can't substitute formal research training, it's highly recommended for anyone wanting to learn about or get involved in clinical trials related to cardiovascular imaging.
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